Model save

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: answerdotai/modernbert-large
+base_model: answerdotai/ModernBERT-base
 tags:
 - generated_from_trainer
 metrics:
@@ -16,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # modernbert-large-email-importance-classifier
 
-This model is a fine-tuned version of [answerdotai/modernbert-large](https://huggingface.co/answerdotai/modernbert-large) on an unknown dataset.
+This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8113
-- Accuracy: 0.548
-- F1 Macro: 0.4816
+- Loss: 1.9648
+- Accuracy: 0.368
+- F1 Macro: 0.3267
 
 ## Model description
 
@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
-| 1.4938        | 1.0   | 155  | 1.6757          | 0.312    | 0.2527   |
-| 1.1853        | 2.0   | 310  | 1.9619          | 0.36     | 0.3063   |
-| 0.9795        | 3.0   | 465  | 1.9798          | 0.36     | 0.2954   |
-| 0.8069        | 4.0   | 620  | 1.7912          | 0.516    | 0.4578   |
-| 0.6376        | 5.0   | 775  | 1.8113          | 0.548    | 0.4816   |
+| 1.5192        | 1.0   | 155  | 1.7710          | 0.252    | 0.1952   |
+| 1.3485        | 2.0   | 310  | 1.9118          | 0.3      | 0.2403   |
+| 1.1313        | 3.0   | 465  | 1.9024          | 0.296    | 0.2535   |
+| 1.0355        | 4.0   | 620  | 2.0135          | 0.332    | 0.2880   |
+| 0.9768        | 5.0   | 775  | 1.9648          | 0.368    | 0.3267   |
 
 
 ### Framework versions